The use of IO.parTraverseN(3) outperforms the standard map followed by parSequenceN(3) in terms of execution speed due to algorithmic optimization.
The difference in performance came down to how the cats library manages Functor analysis in parallel processing, making it faster with a single pass.
Even though the timing difference is minimal at several milliseconds, this can significantly impact systems that handle millions of data points, emphasizing the need for optimal solutions.
The recursive function I implemented not only streamlined the processing but also provided consistent timing results, mitigating errors from external variables like CPU allocation.
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